Optimization of Terminal Defense System Deployment Based on Improved Particle Swarm optimization

In this paper, a “single-to-single” deployment optimization model is established and a variable-size discrete method is proposed. The maximum number of interceptions of missiles is taken as an indicator to initialize the zone and the small-scale discretization of the possible optimal deployment area is obtained. In the small-scale grid, the PSO algorithm is used to search the deployment location. In order to solve the problem of low local search capability and low optimization ability in the post-deployment optimization process, this paper analyzes the inertial weight, speed, location updating strategy improved, analyzed the impact of the height and speed of incoming targets on deployment locations. The simulation results show that the proposed model and the improved algorithm have higher simulation efficiency and can meet the actual needs.